docstr: Predict state value
  Args:
      obs (paddle.tensor): observation
  Return:
      value (paddle.tensor): the predicted state value
docstr_tok: ["Predict","state","value","Args",":","obs","(","paddle.tensor",")",":","observation","Return",":","value","(","paddle.tensor",")",":","the","predicted","state","value"]
code: def value(self, obs):
      """Predict state value
      Args:
          obs (paddle.tensor): observation
      Return:
          value (paddle.tensor): the predicted state value
      """
      with paddle.no_grad():
          value = self.critic(obs)
      value = value.squeeze(1)
      return value
  
file_path: PARL/examples/Baselines/Halite_competition/paddle/rl_trainer/algorithm.py
imports: import paddle
  import paddle.nn
  import paddle.optimizer
  from paddle.distribution import Categorical
label_desc: Use image node_id 5 for calling the PPO obj's underlying member method code with example usage: obj.value(obs) and returns: value